Instructions to use jonik/w2v2-libri-10min with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jonik/w2v2-libri-10min with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="jonik/w2v2-libri-10min")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("jonik/w2v2-libri-10min") model = AutoModelForCTC.from_pretrained("jonik/w2v2-libri-10min") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 750
Browse files
pytorch_model.bin
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runs/May22_08-54-29_89cbb10a0b2a/events.out.tfevents.1684745727.89cbb10a0b2a.827.0
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